Dr. Anne Luther is a researcher, arts manager and software developer whose work examines the contemporary art market and data visualization in qualitative research. She received her PhD from Central Saint Martins College of Art and Design, London and is currently a researcher at the Department for Modern Art History at the Institute of Art Studies and Historical Urban Studies at TU Berlin. She established a lab for qualitative data visualization at The Center for Data Arts at The New School in New York and assisted Professor Boris Groys at NYU in 2014-2017. Her research is grounded in cultural studies, ethnography and art theory. Anne worked in several arts institutions internationally including MoMA PS1, KW Institute for Contemporary Art, HKW Berlin and the art advisory Front Desk Apparatus in New York. She is the co-founder of The International Art Market Association Sub-Committee in Berlin. 

Her PhD research presents a cultural analysis of contemporary art collecting and art production with an illustration of contexts and strategies that overlap in collecting and art production in the international art market. The analysis shows how institutions, local context, social strategies and prestige overlap in their influences on art production as a cause for collecting contemporary art. Economic exchange, reputation, a perception of time, and the personal and emotional understanding of objects and material are four patterns that illustrate reasons for collecting contemporary art in conclusion. The analysis is based on a visualisation of her structured field data that was generated in a participatory field study in the New York art world, consisting of semi-structured interviews between 2013 – 2015. Limitations in usability and interface design, and the need for a sufficient visualisation tool for qualitative data analysis, drew the focus in Anne’s research to development of a new software tool for data visualisation in qualitative research. The network that every researcher constructs in a Grounded Theory coding processes becomes visual, interactive, and traceable with the new software, the Entity Mapper. The theory development that is grounded in the field is now visually comprehensible. Her research in data visualisation, qualitative methods and data analysis emerged into the successful implementation of new software for qualitative research. She is the founder of the Lab for Qualitative Data Visualization [QDV] at The Center for Data Arts at Parsons, The New School in New York.